Data analysis refers to a process where data/information is processed to identify trends,patterns and groupings. With the recollected information predictions and conclusions are created and become useful when taking decisions. It allows users to have a clearer view of big quantities of data and provides the tools to review and work with their data in an organized manner.

Breaking down information and making it easy to understand while avoiding complicated manual processes is key to Artificial Intelligence and Machine Learning. Focused around breaking, analyzing the tools allow you to automate processes and therefore predict future actions. 

You can use it for things such as marketing, e-commerce, retail or manufacturing amongst many others. Some of the benefits such as running sentiment analysis will allow you to extract the overall satisfaction in a set of product reviews, or in comments. Provides with predictions of user needs and interests as well as demand forecasting.

You can also benefit from the possibility of fraud detection algorithms,event detection keyword extractions and much more!

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Not knowing how to write code does not have to limit how you handle your information and how to filter it correctly. SPREEV allows you to access the benefits of Artificial Intelligence and Machine Learning without having to know code. Kristta allows you to access already created Machine Learning models. Machine Learning models are files that are trained to recognize certain patterns, and it is created and provided from our end. A model can be compared to a computer software, where it works based on previous patterns and behaviours, the learning algorithm outputs a model which captures said patterns and makes predictions on new data.